Six Days Faculty Development Program on “High Performance Computing in Health Care and Big Data Analytics: Hands-On” by SRMIST, Chengalpet for the 2024-2025 academic year. Eligible candidates may apply Online.
Post Date: 30th January 2024
Organization: SRM Institute of Science and Technology, Chengalpet
Organization Profile: SRM Institute of Science and Technology (formerly known as SRM University) is one of the top-ranking Universities and most premier engineering destinations in India, which was established in 1985 by the Founder Chancellor, Dr. T. R. Paarivendhar. Now it is functioning in four campuses located at Kattankulathur, Vadapalani, Tiruchirappalli and Ramapuram in Tamilnadu, Modi Nagar in Ghaziabad with over 52,000 students and 3100 faculty members. It offers a wide range of programs to students applying for undergraduate, post- graduate and doctoral programs in Engineering, Management, Medicine & Health Sciences, Agricultural Sciences, Law and Science & Humanities.SRMIST is accredited by NAAC with ‘A++’ Grade. SRM Institute of Science and Technology (formerly known as SRM University) has been awarded a Four-Star rating by Quacquarelli Symonds (‘QS’), a leading global higher education company. SRMIST ranked 24th in the NIRF engineering category. In the overall category, SRMIST has been ranked at 19th position in the NIRF ranking 2022.
DEPARTMENT OF COMPUTING TECHNOLOGIES
The Department of Computing Technologies (CTECH) fosters the future of computing world. The Mission of the Department is to advance, evolve, and enhance Computer Science and Engineering
fundamentals to build the intellectual capital of society. The CTECH Department’s endeavour is to be an important regional, national, and international resource center for the development of computing and its applications. The Department is excelling by keeping up the pace with recent trends and evidence of exponential and exhilarating growth. CTECH boasts a vibrant student body of nearly 5000 undergraduates, 50 postgraduate students, 100+ research scholars, and a stellar faculty of Professors.
ABOUT THE FDP
The Faculty Development Program (FDP) encompasses a diverse range of topics at the intersection of cutting-edge technologies and healthcare analytics. Participants will delve into GPGPU Architectures, gaining insights into the world of Graphics Processing Units (GPUs) and their application in parallel computing for accelerated data analytics. The program explores the intricacies of GPGPU Programming, empowering educators with the skills to harness the computational power of GPUs for enhanced data processing. The significance of Big Data Analytics in Health Care is highlighted, emphasizing the transformative potential of leveraging data for informed decision-making. Attendees will delve into building advanced analytics models tailored for healthcare, with a focus on personalized treatment recommendations using Artificial Intelligence (AI). Case studies on disease outbreak prediction and predictive analytics for diabetic retinopathy offer practical insights into real-world applications. The program also covers the identification of anomalies in biomedical signals and the mathematical modeling of physical systems using AI, providing a comprehensive understanding of AI’s role in healthcare. The integration of GPU programming with Python and the application of Vision Transformer for medical segmentation further enrich the curriculum, ensuring participants acquire a holistic skill set for advancing healthcare analytics through emerging technologies.
Event: Six Days Faculty Development Program- 5/2/2024 to 10/2/2024
Title of the workshop: “High Performance Computing in Health Care and Big Data Analytics: Hands-On”
Organized by: ACCELERATED COMPUTING RESEARCH VERTICAL
DEPARTMENT OF COMPUTING TECHNOLOGIES, School of Computing, College of Engineering and Technology
Participants:
Faculty members of all branches, research scholars, UG/PG students, and industrialists are invited to participate in this Programme.
Program Duration: Six days, 05.02.2024 to 10.02.2024
Location: Chengalpet, Tamilnadu
REGISTRATION FEE: Rs. 1000
The Participants are requested to make the payment through Net
Banking NEFT transaction:
Account No: 7111751848
Account name: COMPUTER SCIENCE AND ENGG ASSOCIATION
Account Type: SB
Bank name: Indian bank
Branch: SRM University
IFSC code: IDIB000S181
Last date for the receipt of applications:15th October 2022.
Apply Mode: Online
REGISTRATION LINK: https://forms.gle/bEpTzXx1hU2KUKSVA
• Last Date for Registration: 31.01.2024
• Intimation & Registration Confirmation: Within 2 days after Registration
• Session Timings: 9:30 AM – 4:00 PM
• Registration is compulsory for all participants
• Participation Certificate will be provided
• Participants are informed to bring their Laptops. They will be trained to apply Machine Learning/Deep Learning Algorithms for Medical Images and Big Data Analytics using tools and GPU Programming with CUDA/Python
ACCOMMODATION
Accommodation will be provided on request (Payable).
VENUE
TP401 & 402, 4th Floor, Tech Park Building
Contact Person:
Dr. S. Sivakumar, AP/CTECH (Mobile No. 98400 93979)
Dr. Ajantha Lakshmanan, AP/CTECH (Mobile No. 97918 16376)
SRM Institute of Science and Technology, Kattankulathur – 603-203, Chengalpet Dist., Tamil Nadu
Website: www.srmist.edu.in
Reference: Official Advertisement